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清华大学学报(自然科学版)  2016, Vol. 56 Issue (2): 137-143    DOI: 10.16511/j.cnki.qhdxxb.2016.22.004
  汽车工程 本期目录 | 过刊浏览 | 高级检索 |
结合自然语言处理与改进层次分析法的乘用车驾驶舒适性评价
卢兆麟1,2, 李升波1, Schroeder Felix3, 周吉晨3, 成波1
1. 清华大学 汽车工程系, 汽车节能与安全国家重点实验室, 北京 100084;
2. 合肥学院 设计艺术系, 合肥 230601;
3. 奥迪汽车(中国)企业管理有限公司, 北京 100015
Driving comfort evaluation of passenger vehicles with natural language processing and improved AHP
LU Zhaolin1,2, LI Shengbo1, Schroeder Felix3, ZHOU Jichen3, CHENG Bo1
1. State Key Laboratory of Automotive Safety and Energy, Department of Automotive Engineering, Tsinghua University, Beijing 100084, China;
2. Department of Art Design, Hefei University, Hefei 230601, China;
3. Audi China Enterprise Management Co., Ltd., Beijing 100015, China
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摘要 为了有效和准确地评价乘用车驾驶舒适性, 构建了 “人-机-环境” 系统下的汽车驾驶舒适性本体模型, 并对驾驶舒适性的形成机制进行了阐述。通过用户访谈实验并基于改进的 “词频-逆向文件频率” (TF-IDF)方法对主题词进行提取, 获得影响驾驶舒适性的主要因素并进行分类, 在此基础上建立递阶层次结构; 针对传统层次分析法(AHP)的不足, 以三标度取代九标度以保证精确性, 通过Delphi实验, 构造两两比较判别矩阵后再进行处理, 以计算各评价指标的权重, 并对该指标体系进行一致性检验。以C级乘用车为例, 验证了该评价方法的有效性。该方法为乘用车的驾驶舒适性评价提供了一种可行的技术支持。
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卢兆麟
李升波
Schroeder Felix
周吉晨
成波
关键词 乘用车驾驶舒适性评价指标层次分析法自然语言处理    
Abstract:The driving comfort of drivers in passenger vehicles was evaluated using an ontology model for driving comfort in a human-machine-environment system. The model was then used to evaluate driving comfort with the main driving comfort description extracted and classified via user interviews based on the improved term frequency-inverse document frequency (TF-IDF) method. The words were then ranked in a hierarchical structure. The scale of nine in the traditional analytical hierarchy process (AHP) was replaced by a scale of three to improve the accuracy. The comparative judgment matrix was defined with the weight of each index calculated through a Delphi survey. The index consistency system was also tested. The reliability of this method was validated using C-class passenger vehicles. Thus, this gives an effective approach for evaluating vehicle driving comfort.
Key wordspassenger vehicle    driving comfort    evaluation index    analytic hierarchy process    natural language processing
收稿日期: 2015-09-29      出版日期: 2016-02-17
ZTFLH:  TP39  
  U27  
基金资助:国家自然科学基金项目(51505251); 中国博士后科学基金项目(2014M560955);安徽省自然科学基金项目(1508085QG144); 安徽高校省级优秀青年人才基金重点项目(2013SQRL078ZD)
通讯作者: 成波, 教授, E-mail: chengbo@tsinghua.edu.cn     E-mail: chengbo@tsinghua.edu.cn
作者简介: 卢兆麟(1980—), 男(汉), 安徽, 博士后。
引用本文:   
卢兆麟, 李升波, Schroeder Felix, 周吉晨, 成波. 结合自然语言处理与改进层次分析法的乘用车驾驶舒适性评价[J]. 清华大学学报(自然科学版), 2016, 56(2): 137-143.
LU Zhaolin, LI Shengbo, Schroeder Felix, ZHOU Jichen, CHENG Bo. Driving comfort evaluation of passenger vehicles with natural language processing and improved AHP. Journal of Tsinghua University(Science and Technology), 2016, 56(2): 137-143.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2016.22.004  或          http://jst.tsinghuajournals.com/CN/Y2016/V56/I2/137
  表1 程度副词量级
  表2 主题词提取结果
  图1 驾驶舒适性指标的层次体系
  表3 三标度判别指标重要性比较
  表4 RI取值[17]
  表5 分层权重计算结果
  表6 各指标对于目标层的总权重
  表7 一致性计算结果
  图2 129被试Likert量表评价结果
  表8 实例各品牌车最终舒适性评分
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